Mining plant genomic and genetic data using the GnpIS information system - Archive ouverte HAL
Chapitre D'ouvrage Année : 2017

Mining plant genomic and genetic data using the GnpIS information system

Michael Alaux
Sophie Durand
Thomas Letellier
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  • PersonId : 1203739
Nacer Mohellibi
Cyril Pommier
Dorothée Charruaud
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Nathalie Choisne
Claire Guerche
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Erik Kimmel
Nicolas Lapalu
Mikaël Loaec
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Célia Michotey
Hadi Quesneville

Résumé

GnpIS is an information system designed to help scientists working on plants and fungi to decipher the molecular and genetic architecture of trait variations by facilitating the navigation through genetic, genomic, and phenotypic information. The purpose of the present chapter is to illustrate how users can (1) explore datasets from phenotyping experiments in order to build new datasets for studying genotype × environment interactions in traits, (2) browse into the results of other genetic analysis data such as GWAS to generate or check working hypothesis about candidate genes or to identify important alleles and germplasms for breeding programs, and (3) explore the polymorphism in specific area of the genome using InterMine, JBrowse tools embedded in the GnpIS information system.
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Dates et versions

hal-03206731 , version 1 (23-04-2021)

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Anne-Francoise Adam-Blondon, Michael Alaux, Sophie Durand, Thomas Letellier, Guillaume Merceron, et al.. Mining plant genomic and genetic data using the GnpIS information system. Aalt D.J van Dijk. Plant Genomics Databases. Methods and Protocols, 1533, Springer, 2017, Methods in Molecular Biology, 978-1-4939-6658-5. ⟨10.1007/978-1-4939-6658-5_5⟩. ⟨hal-03206731⟩
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